This dataset encompasses a comprehensive collection of questions extracted from the JabRef project's forums, specifically Gitter and GitHub. It categorizes questions based on various attributes, offering insights into the types of queries posed by users and their acceptance within the community. Each entry in the dataset is tagged with multiple attributes, including the nature of the question, context requirements, user type, and intended purpose. This data is pivotal for analyzing community engagement, identifying common challenges, and optimizing the implementation of conversational agents to facilitate more effective communication and problem-solving within the OSS community.

This dataset encompasses a comprehensive collection of questions extracted from the JabRef project's forums, specifically Gitter and GitHub. It categorizes questions based on various attributes, offering insights into the types of queries posed by users and their acceptance within the community. Each entry in the dataset is tagged with multiple attributes, including the nature of the question, context requirements, user type, and intended purpose. This data is pivotal for analyzing community engagement, identifying common challenges, and optimizing the implementation of conversational agents to facilitate more effective communication and problem-solving within the OSS community.

This dataset encompasses a comprehensive collection of questions extracted from the JabRef project's forums, specifically Gitter and GitHub. It categorizes questions based on various attributes, offering insights into the types of queries posed by users and their acceptance within the community. Each entry in the dataset is tagged with multiple attributes, including the nature of the question, context requirements, user type, and intended purpose. This data is pivotal for analyzing community engagement, identifying common challenges, and optimizing the implementation of conversational agents to facilitate more effective communication and problem-solving within the OSS community.

This codebook classifies excerpts from interviews conducted with voluntary participants for the article "Investigating the potential of using Worked Examples to help resolve issues in a GitHub project". This document presents the qualitative analysis of the interview transcripts and is structured as follows: Benefits or Challenges of Using Worked Examples: A set of codes that characterize cases where Worked Examples either helped or hindered users in developing solutions for a GitHub issue. Code: Codes extracted from the transcripts. Description: A description of the situation in which a code can be associated with an excerpt. Quotes/Examples: Examples of excerpts from interview transcripts that fit a given code.

This codebook classifies excerpts from interviews conducted with voluntary participants for the article "Investigating the potential of using Worked Examples to help resolve issues in a GitHub project". This document presents the qualitative analysis of the interview transcripts and is structured as follows: Benefits or Challenges of Using Worked Examples: A set of codes that characterize cases where Worked Examples either helped or hindered users in developing solutions for a GitHub issue. Code: Codes extracted from the transcripts. Description: A description of the situation in which a code can be associated with an excerpt. Quotes/Examples: Examples of excerpts from interview transcripts that fit a given code.